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Cellular Oncology : the Official Journal of the International Society for Cellular Oncology|December 30, 2004
Microarray data analysis: from hypotheses to conclusions using gene expression dataNicola J Armstrong, Mark A van de WielBMC Bioinformatics|February 27, 2008
Effects of dependence in high-dimensional multiple testing problemsKyung In Kim, Mark A van de WielThe Netherlands Journal of Medicine|December 17, 2008
Cardiovascular risk is more related to drinking pattern than to the type of alcoholic drinksA van de Wiel, D W de LangeBiometrical Journal. Biometrische Zeitschrift|February 18, 2011
Confidence scores for prediction modelsThomas A Gerds, Mark A van de WielBiometrics|September 11, 2007
Estimating the false discovery rate using nonparametric deconvolutionMark A van de Wiel, Kyung In KimCancer Informatics|May 21, 2009
CGHregions: dimension reduction for array CGH data with minimal information lossMark A van de Wiel, Wessel N van WieringenStatistical Applications in Genetics and Molecular Biology|February 21, 2014
Penalized differential pathway analysis of integrative oncogenomics studiesWessel N van Wieringen, Mark A van de WielJournal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 11, 2011
Exploratory factor analysis of pathway copy number data with an application towards the integration with gene expression dataWessel N van Wieringen, Mark A van de WielBioinformatics (Oxford, England)|February 20, 2013
PLRS: a flexible tool for the joint analysis of DNA copy number and mRNA expression dataGwenaël G R Leday, Mark A van de WielEpidemiologic Methods|July 11, 2024
Linked shrinkage to improve estimation of interaction effects in regression modelsMark A van de Wiel, Matteo Amestoy, Jeroen HooglandPageof 26